Innovating Online Ethics Training Using a Dynamic Narrative Learning Environment

利用动态叙事学习环境创新在线道德培训

• 批准号: 2202521
• 负责人: Edward Melcer
• 金额: $ 85万
• 依托单位: University of California-Santa Cruz
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2202521&HistoricalAwards=false
• 关键词: Innovating; Online; Ethics; Training; Using

Ethical dilemmas arise in all aspects of STEM research. To help mitigate the problems associated with unethical research behavior, universities and granting agencies, such as the NSF, require training in responsible conduct of research (RCR). However, while there are a variety of approaches to teaching ethical behavior, including case studies, workshops, and toolkits, ethics training instruction is often reduced to simplified text-based online tutorials. Ethical oversight agencies and training experts have emphasized the need for additional RCR learning tools that are more engaging, scalable, and offer a hands-on approach to exploring real world problems. This project explores the use of artificial intelligence (AI) techniques within an educational game-based ethics training tool to maximize player motivation and learning. Specifically, the AI will be used to create realistic interactive ethical scenarios that adjust to the player and choices they make. This research will provide a novel artificial intelligence-based approach to learning ethics and produce an educational game-based ethics training tool that is freely accessible and ready for incorporation into responsible conduct of research training programs nationwide. Furthermore, by enhancing methods used for training scientists to understand and engage in ethical behavior, this research aims to drive improvements in the quality and accuracy of STEM research as well as encourage healthier workplace practices that support a diverse and inclusive environment.This project will address the need for engaging, scalable, and hands-on ethics training by applying the Self-Determination Theory (SDT) of motivation through an innovative combination of four state-of-the-art AI-based narrative systems: 1) a social simulation system, 2) a pedagogy manager, 3) a drama manager, and 4) a dynamic content selection architecture (CSA) that dynamically selects texts and options based on author goals and state maintained by the first three systems. Compared to existing approaches to dynamic CSA, this approach enables interactive stories with more flexible delivery of choice-based story content. The project develops contributions in modeling complex ethical contexts and facilitating learners’ feelings of autonomy, relatedness, and competence. The forms of these contributions are AI-driven narrative techniques to maximize diverse learner motivations, a novel dynamic CSA architecture, and a new approach to ethics training that utilizes AI to improve learner engagement, knowledge, and moral reasoning skill development. The project takes a design-based research approach to iteratively build out each AI-based narrative system and evaluates the impact this new AI narrative training architecture has on player motivation, engagement, and learning outcomes for ethics training. A randomized controlled trial will also be employed to compare the efficacy of the adaptive interactive narrative game with dynamic CSA to a static narrative version of the same game. The results are expected to advance understanding of AI-based approaches to leveraging SDT within educational narratives and ethics training, which will enable further innovations in learning technologies.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

在STEM研究的各个方面都出现了伦理困境。为了帮助缓解与不道德的研究行为相关的问题，大学和授权机构，如国家科学基金会，要求进行负责任的研究行为(RCR)培训。然而，虽然有各种各样的方法来教授道德行为，包括案例研究、研讨会和工具包，但道德培训教学通常被简化为基于文本的在线教程。道德监督机构和培训专家强调，需要更多的RCR学习工具，这些工具更具吸引力、可伸缩性，并提供实践方法来探索现实世界的问题。这个项目探索了人工智能(AI)技术在基于教育游戏的道德培训工具中的使用，以最大限度地提高玩家的动机和学习。具体地说，人工智能将被用来创建现实的互动伦理场景，根据玩家和他们所做的选择进行调整。这项研究将提供一种基于人工智能的学习伦理的新方法，并产生一个基于教育游戏的伦理培训工具，该工具可以免费访问，并准备纳入全国范围内负责任的研究培训计划。此外，通过加强训练科学家理解和参与道德行为的方法，该研究旨在推动STEM研究的质量和准确性的提高，并鼓励更健康的工作场所实践，以支持多样化和包容性的环境。该项目将通过创新地结合四种最先进的基于人工智能的叙事系统来应用动机的自决论(SDT)来解决参与、可扩展和动手的道德培训的需求：1)社会模拟系统，2)教学经理，3)戏剧经理，以及4)动态内容选择体系结构(CSA)，其基于由前三个系统维护的作者目标和状态动态地选择文本和选项。与现有的动态CSA方法相比，该方法使交互式故事能够更灵活地提供基于选择的故事内容。该项目在模拟复杂的伦理背景和促进学习者的自主性、关联性和能力方面做出了贡献。这些贡献的形式是人工智能驱动的叙事技术，以最大化不同的学习者动机，一个新颖的动态CSA架构，以及一种利用人工智能来提高学习者参与度、知识和道德推理技能发展的伦理培训的新方法。该项目采用基于设计的研究方法，迭代地构建每个基于人工智能的叙事系统，并评估这种新的人工智能叙事训练架构对玩家动机、参与度和道德培训的学习结果的影响。还将采用随机对照试验来比较具有动态CSA的自适应互动叙事游戏与同一游戏的静态叙事版本的效果。预计结果将促进对在教育叙事和道德培训中利用SDT的基于人工智能的方法的理解，这将使学习技术进一步创新。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。